Machine learning models to estimate stress wave velocities of cohesionless soils during triaxial compression influenced by particle characteristics
Stress wave velocities, ie shear and compression wave velocities and hence small strain
stiffness, are important parameters required for dynamic analysis and designing various …
stiffness, are important parameters required for dynamic analysis and designing various …
Surface wave inversion with unknown number of soil layers based on a hybrid learning procedure of deep learning and genetic algorithm
Surface wave inversion is a key step in the application of surface waves to soil velocity
profiling. Currently, a common practice for the process of inversion is that the number of soil …
profiling. Currently, a common practice for the process of inversion is that the number of soil …
Machine Learning Models for Predicting Shear Wave Velocity of Soils
As regards regions prone to seismic activity, shear wave velocity (V s) is a design parameter
for geotechnical systems exposed to dynamic loads. Evaluating V s for geomaterials …
for geotechnical systems exposed to dynamic loads. Evaluating V s for geomaterials …
[PDF][PDF] The relationship between the penetration depth and wavelength of the surface wave in two layers of soil
Z Zhou, TMH Lok - Wan-Huan Zhou, Zheng Guan and Xue Li …, 2024 - library.oapen.org
The surface wave method is a promising non-invasive test technique, which is cost-saving,
convenient, and environmentally friendly. However, some fundamental issues still require …
convenient, and environmentally friendly. However, some fundamental issues still require …